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Development

Running the servers locally

The easiest way to run the API server(s) is with Docker Compose:

$ docker-compose up

Running Tests

uv run pytest

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

Releasing Agent Memory Server

Releases are triggered manually via GitHub Actions workflow dispatch.

Steps to Release

  1. Update the version in agent_memory_server/__init__.py
  2. Commit and push the version change to main
  3. Go to GitHub Actions → "Release Docker Images" workflow
  4. Click "Run workflow"
  5. Choose options:
    • Version: Leave empty to use version from __init__.py, or specify a custom version
    • Push latest tag: Check to also tag as latest (recommended for stable releases)
  6. Click "Run workflow"

This will:

  • Build Docker images for linux/amd64 and linux/arm64
  • Push to Docker Hub: redislabs/agent-memory-server:<version>
  • Push to GitHub Container Registry: ghcr.io/redis/agent-memory-server:<version>
  • Optionally tag as latest on both registries
  • Create a GitHub release with the version tag

Docker Hub: https://hub.docker.com/r/redislabs/agent-memory-server

Releasing Agent Memory Client

For the client, the workflow is different. First, merge your PR to main. Then tag a commit (from main) and push to a tag based on the format client/vx.y.z-test or client/vx.y.z:

  • Test PyPI: Use -test in the version tag. For example:
$ git tag client/v0.9.0-b2-test
$ git push client/v0.9.0-b2-test
  • Production PyPI: Do not include -test in the version tag:
$ git tag client/v0.9.0b2
$ git push client/v0.9.0b2